
Dashboards in Swiss Re reporting surfaces are only useful if the underlying numbers can be trusted. For a QA Engineer, validating reported metrics usually means checking that the dashboard logic matches the source data and that edge cases are handled correctly.
Explain how you would validate that a report or dashboard shows accurate data. Focus on how you would use SQL to reconcile dashboard totals back to source tables, verify grouped metrics, and test filters, nulls, duplicates, and date boundaries. You should also describe how you would investigate a mismatch between a dashboard number and a direct SQL result.
Keep your answer practical and SQL-focused rather than discussing generic UI testing. The interviewer is looking for a simple, structured validation approach that a QA Engineer could use on Swiss Re reporting data.